Evidence map›Paper›PMID 35013824›Full record

ArticleJournal of digital imaging2022

Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times.

Amar Udare, Minu Agarwal, Kiret Dhindsa, Amer Alaref, Michael Patlas, Abdullah Alabousi, Yoan K Kagoma, Christian B van der Pol

Abstract read
In one paragraph

Article in Journal of digital imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amar UdareDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession St, Hamilton, ON, L8V 1C3, Canada.
Minu AgarwalDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession St, Hamilton, ON, L8V 1C3, Canada.
Kiret DhindsaVector Institute for Artificial Intelligence, MaRS Centre, West Tower, 661 University Ave, Suite 710, Toronto, ON, M5G 1M1, Canada.
Amer AlarefThunder Bay Regional Health Sciences Centre, 980 Oliver Rd, Thunder Bay, Hamilton, ON, P7B 6V4, Canada.
Michael PatlasDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession St, Hamilton, ON, L8V 1C3, Canada.
Abdullah AlabousiDepartment of Diagnostic Imaging, St. Joseph's Healthcare, 50 Charlton Ave E, Hamilton, ON, L8N 4A6, Canada.
Yoan K KagomaDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession St, Hamilton, ON, L8V 1C3, Canada.
Christian B van der PolDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession St, Hamilton, ON, L8V 1C3, Canada. vanderpolc@hhsc.ca.ORCID 0000-0002-1718-2619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose is to determine factors impacting radiologist abdominal pelvic CT exam reporting time. This study was Research Ethics Board approved. Between January 2019 and March 2020, consecutive abdominal pelvic CT exams were documented as structured or unstructured based on application of templates with separate sections for different organs or organ systems. Radiologist reporting location, patient class (inpatient, Emergency Department (ED) patient, outpatient), radiologist fellowship-training, report word count, and radiologist years of experience were documented. Median reporting times were compared using the Wilcoxon Rank-sum test, Kruskal-Wallis test, and regression analysis. Spearman's rank correlation was used to determine correlation between word count and radiologist experience with reporting time. P < 0.05 is defined statistical significance. A total of 3602 abdominal pelvic CT exam reports completed by 33 radiologists were reviewed, including 1150 outpatient and 2452 inpatient and Emergency Department (ED) cases. 1398 of all reports were structured. Median reporting time for structured and unstructured reports did not differ (P = 0.870). Reports dictated in-house were completed faster than reports dictated remotely (P < 0.001), and reports for inpatients/ED patients were completed faster than for outpatients (P < 0.001). Reporting time differences existed between radiologists (P < 0.001) that were not explained by fellowship training (P = 0.762). Median reporting time had a weak correlation with word count (ρ = 0.355) and almost no correlation with radiologist years of experience (ρ = 0.167), P < 0.001. Abdominal pelvic CT reporting is most efficient when dictations are completed in-house and for high-priority cases; the use of structured templates, radiologist fellowship training, and years of experience have no impact on reporting times.

Indexed as

Emergency Service, HospitalRadiologistsAbdomenEfficiencyHumansTomography, X-Ray ComputedEfficiency, OrganizationalMultidetector computed tomographyQuality improvementWorkflow

Identifiers

PMID35013824
PMCPMC8921423

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.